Spatial proteomics: technological methodological advances and clinical application translation

doi:10.3760/cma.j.cn441417-20250402-19010

Abstract

Abstract:

The spatiotemporal dynamic distribution and functional regulation of proteins represent core features of life activities. Traditional proteomics faces bottlenecks due to its difficulty in resolving subcellular localization heterogeneity and dynamic translocation events. By integrating high-precision mass spectrometry, super-resolution imaging, and artificial intelligence algorithms, spatial proteomics constructs a multidimensional analytical framework, enabling a comprehensive understanding of the mechanisms underlying the occurrence and development of diseases such as cancer and neurodegenerative disorders. This paper briefly reviews the technological advancements and clinical translational applications of spatial proteomics.

Key words:

Proteomics, Spatial proteomics, Mass spectrometry, Imaging technology, Progress

摘要：

蛋白质的时空动态分布与功能调控是生命活动的核心特征，传统蛋白质组学因难以解析亚细胞定位异质性及动态转位事件而面临瓶颈。空间蛋白质组学通过整合高精度质谱、超分辨成像与人工智能算法，构建了多维分析框架，从而充分了解肿瘤、神经退行性疾病等的发生发展机制。本文简述空间蛋白质组学技术进展与临床应用转化。

关键词:

蛋白质组学, 空间蛋白质组学, 质谱, 成像技术, 进展

He Donghao, Yin Lianghong.

Spatial proteomics: technological methodological advances and clinical application translation [J]. International Medicine and Health Guidance News, 2025, 31(19): 3218-3222.

何东浩尹良红.

空间蛋白质组学：技术方法学进展与临床应用转化 [J]. 国际医药卫生导报, 2025, 31(19): 3218-3222.

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